The quarterly “Operations Research and Decisions” is a peer-reviewed journal which includes original scientific papers covering the full scope of operations research. Special emphasis is placed on quantitative methods and their application as a tool to solve economic, social and management problems. In particular, the articles published deal with the following subjects:
• mathematical modeling,
• econometric and statistical methods,
• optimization and simulation,
• management information systems and systems supporting decision making,
• computer applications in optimization.
The papers presented contain substantial theoretical discussions concerning the methodology of operational research and decisions, as well as descriptions of quantitative methods and applications of these techniques to solving practical problems of an economic and social nature.
The quarterly “Operations Research and Decisions” has been published under this title since 1991. It continues the tradition of the journal entitled “Papers on Science and Forecasting” which was edited at Wroclaw University of Technology during the eighties. Before 2010, papers were published mainly in Polish and occasionally in English. Since that year the whole journal has been printed in English. The full texts of articles are freely available from the “Operations Research and Decisions” web site and, since 2005, through the EBSCO database serving the best interests of the scientific community.
The definitive version of the journal is the printed version. The journal is published and financed by Wroclaw University of Technology (Institute of Organization and Management) under the patronage of the Polish Operational and Systems Research Society (a member of IFORS). According to the list of the Polish Ministry of Science and Higher Education, published papers are awarded 8 points (check here).
The journal is abstracted and indexed in: ARIANTA, BazEkon, BazTech, CEJSH, DOAJ, EBSCO, Index Copernicus, Inspec, MathSciNet, Repec, Ulrich’s Periodicals Directory, Zentralblatt MATH.